Jamba 1.5 Large vs Mistral Small 3.1 24B Base
Jamba 1.5 Large and Mistral Small 3.1 24B Base are closely matched at 0.9 and 0.3 on the LLM Stats Score. Mistral Small 3.1 24B Base is 23.3x cheaper per token.
AI21 Labs · Mistral AI · Updated for 2026
Which is better?
Jamba 1.5 Large and Mistral Small 3.1 24B Base are closely matched on the overall LLM Stats Score at 0.9 and 0.3.
In the 3 individual benchmarks reported for both models, Mistral Small 3.1 24B Base wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3.1 24B Base is roughly 23.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you process long inputs — it offers a 256,000 token context window
Choose Mistral Small 3.1 24B Base
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 23.3x cheaper per token
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Large · 5 for Mistral Small 3.1 24B Base
Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Mistral Small 3.1 24B Base is better at 2 benchmarks (GPQA, MMLU-Pro).
Mistral Small 3.1 24B Base shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 20.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 26.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 374.0B more parameters than Mistral Small 3.1 24B Base, making it 1558.3% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas Jamba 1.5 Large does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Small 3.1 24B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Mistral Small 3.1 24B Base is 7 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.1 years ago
Mar 17, 2025
1.5 years ago
6mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Small 3.1 24B Base's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Mistral Small 3.1 24B Base is available from Mistral AI.
Jamba 1.5 Large
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Mistral Small 3.1 24B Base.